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arabert_cross_organization_task7_fold1

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bert
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@@ -3,20 +3,20 @@ base_model: aubmindlab/bert-base-arabertv02
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: arabert_cross_organization_task7_fold0
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # arabert_cross_organization_task7_fold0
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  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7058
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- - Qwk: 0.5975
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- - Mse: 0.7057
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  ## Model description
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@@ -47,81 +47,81 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.1333 | 2 | 3.8864 | 0.0541 | 3.8830 |
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- | No log | 0.2667 | 4 | 2.5481 | 0.0079 | 2.5460 |
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- | No log | 0.4 | 6 | 1.6996 | 0.2037 | 1.6983 |
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- | No log | 0.5333 | 8 | 1.3776 | 0.2939 | 1.3765 |
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- | No log | 0.6667 | 10 | 1.3355 | 0.3347 | 1.3345 |
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- | No log | 0.8 | 12 | 1.2773 | 0.3590 | 1.2767 |
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- | No log | 0.9333 | 14 | 1.4284 | 0.3342 | 1.4277 |
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- | No log | 1.0667 | 16 | 1.1577 | 0.3897 | 1.1573 |
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- | No log | 1.2 | 18 | 0.9645 | 0.4536 | 0.9641 |
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- | No log | 1.3333 | 20 | 1.1001 | 0.4324 | 1.0996 |
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- | No log | 1.4667 | 22 | 1.0995 | 0.4399 | 1.0990 |
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- | No log | 1.6 | 24 | 0.9787 | 0.4704 | 0.9783 |
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- | No log | 1.7333 | 26 | 0.8116 | 0.5438 | 0.8112 |
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- | No log | 1.8667 | 28 | 0.8107 | 0.5471 | 0.8103 |
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- | No log | 2.0 | 30 | 0.9069 | 0.4983 | 0.9063 |
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- | No log | 2.1333 | 32 | 0.8730 | 0.5346 | 0.8726 |
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- | No log | 2.2667 | 34 | 0.9141 | 0.5284 | 0.9138 |
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- | No log | 2.4 | 36 | 0.7576 | 0.6068 | 0.7578 |
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- | No log | 2.5333 | 38 | 0.7560 | 0.6087 | 0.7563 |
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- | No log | 2.6667 | 40 | 0.8005 | 0.6059 | 0.8007 |
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- | No log | 2.8 | 42 | 0.9430 | 0.5399 | 0.9430 |
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- | No log | 2.9333 | 44 | 0.8990 | 0.5542 | 0.8990 |
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- | No log | 3.0667 | 46 | 0.8494 | 0.5672 | 0.8494 |
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- | No log | 3.2 | 48 | 0.8095 | 0.5752 | 0.8094 |
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- | No log | 3.3333 | 50 | 0.7424 | 0.6012 | 0.7425 |
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- | No log | 3.4667 | 52 | 0.7009 | 0.6100 | 0.7011 |
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- | No log | 3.6 | 54 | 0.7078 | 0.6055 | 0.7080 |
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- | No log | 3.7333 | 56 | 0.8222 | 0.5652 | 0.8223 |
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- | No log | 3.8667 | 58 | 0.8211 | 0.5742 | 0.8212 |
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- | No log | 4.0 | 60 | 0.7561 | 0.5870 | 0.7562 |
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- | No log | 4.1333 | 62 | 0.6981 | 0.6055 | 0.6982 |
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- | No log | 4.2667 | 64 | 0.6970 | 0.6051 | 0.6971 |
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- | No log | 4.4 | 66 | 0.7327 | 0.5991 | 0.7326 |
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- | No log | 4.5333 | 68 | 0.8809 | 0.5424 | 0.8806 |
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- | No log | 4.6667 | 70 | 0.8266 | 0.5559 | 0.8263 |
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- | No log | 4.8 | 72 | 0.7118 | 0.5954 | 0.7117 |
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- | No log | 4.9333 | 74 | 0.6923 | 0.6040 | 0.6923 |
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- | No log | 5.0667 | 76 | 0.7259 | 0.5893 | 0.7259 |
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- | No log | 5.2 | 78 | 0.7425 | 0.5832 | 0.7425 |
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- | No log | 5.3333 | 80 | 0.6843 | 0.6051 | 0.6843 |
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- | No log | 5.4667 | 82 | 0.6647 | 0.6118 | 0.6647 |
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- | No log | 5.6 | 84 | 0.6805 | 0.6104 | 0.6804 |
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- | No log | 5.7333 | 86 | 0.7021 | 0.5992 | 0.7019 |
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- | No log | 5.8667 | 88 | 0.6896 | 0.6158 | 0.6894 |
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- | No log | 6.0 | 90 | 0.6658 | 0.6204 | 0.6657 |
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- | No log | 6.1333 | 92 | 0.6774 | 0.6118 | 0.6774 |
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- | No log | 6.2667 | 94 | 0.7472 | 0.5748 | 0.7471 |
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- | No log | 6.4 | 96 | 0.8444 | 0.5491 | 0.8442 |
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- | No log | 6.5333 | 98 | 0.8227 | 0.5502 | 0.8225 |
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- | No log | 6.6667 | 100 | 0.7455 | 0.5671 | 0.7453 |
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- | No log | 6.8 | 102 | 0.7062 | 0.5907 | 0.7060 |
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- | No log | 6.9333 | 104 | 0.6458 | 0.6143 | 0.6457 |
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- | No log | 7.0667 | 106 | 0.6289 | 0.6250 | 0.6288 |
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- | No log | 7.2 | 108 | 0.6373 | 0.6205 | 0.6371 |
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- | No log | 7.3333 | 110 | 0.6669 | 0.6113 | 0.6666 |
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- | No log | 7.4667 | 112 | 0.7012 | 0.6035 | 0.7009 |
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- | No log | 7.6 | 114 | 0.6942 | 0.5999 | 0.6939 |
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- | No log | 7.7333 | 116 | 0.6669 | 0.6083 | 0.6668 |
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- | No log | 7.8667 | 118 | 0.6470 | 0.6177 | 0.6469 |
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- | No log | 8.0 | 120 | 0.6439 | 0.6292 | 0.6438 |
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- | No log | 8.1333 | 122 | 0.6501 | 0.6098 | 0.6500 |
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- | No log | 8.2667 | 124 | 0.6801 | 0.6013 | 0.6800 |
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- | No log | 8.4 | 126 | 0.7382 | 0.5951 | 0.7380 |
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- | No log | 8.5333 | 128 | 0.7558 | 0.5885 | 0.7556 |
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- | No log | 8.6667 | 130 | 0.7227 | 0.5947 | 0.7225 |
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- | No log | 8.8 | 132 | 0.6780 | 0.6014 | 0.6780 |
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- | No log | 8.9333 | 134 | 0.6554 | 0.6101 | 0.6554 |
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- | No log | 9.0667 | 136 | 0.6520 | 0.6154 | 0.6520 |
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- | No log | 9.2 | 138 | 0.6597 | 0.6100 | 0.6596 |
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- | No log | 9.3333 | 140 | 0.6690 | 0.6141 | 0.6689 |
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- | No log | 9.4667 | 142 | 0.6790 | 0.6041 | 0.6789 |
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- | No log | 9.6 | 144 | 0.6910 | 0.5976 | 0.6909 |
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- | No log | 9.7333 | 146 | 0.7025 | 0.5975 | 0.7024 |
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- | No log | 9.8667 | 148 | 0.7059 | 0.5975 | 0.7057 |
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- | No log | 10.0 | 150 | 0.7058 | 0.5975 | 0.7057 |
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  ### Framework versions
 
3
  tags:
4
  - generated_from_trainer
5
  model-index:
6
+ - name: arabert_cross_organization_task7_fold1
7
  results: []
8
  ---
9
 
10
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
  should probably proofread and complete it, then remove this comment. -->
12
 
13
+ # arabert_cross_organization_task7_fold1
14
 
15
  This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0235
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+ - Qwk: 0.3186
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+ - Mse: 1.0235
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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+ | No log | 0.1333 | 2 | 4.5492 | 0.0033 | 4.5492 |
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+ | No log | 0.2667 | 4 | 2.3313 | 0.0265 | 2.3313 |
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+ | No log | 0.4 | 6 | 0.9380 | 0.1593 | 0.9380 |
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+ | No log | 0.5333 | 8 | 0.7299 | 0.3211 | 0.7299 |
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+ | No log | 0.6667 | 10 | 1.0765 | 0.2403 | 1.0765 |
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+ | No log | 0.8 | 12 | 0.9948 | 0.2992 | 0.9948 |
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+ | No log | 0.9333 | 14 | 0.7246 | 0.3691 | 0.7246 |
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+ | No log | 1.0667 | 16 | 0.8317 | 0.3374 | 0.8317 |
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+ | No log | 1.2 | 18 | 1.1310 | 0.2565 | 1.1310 |
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+ | No log | 1.3333 | 20 | 0.8172 | 0.3590 | 0.8172 |
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+ | No log | 1.4667 | 22 | 0.6362 | 0.4637 | 0.6362 |
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+ | No log | 1.6 | 24 | 0.7141 | 0.4179 | 0.7141 |
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+ | No log | 1.7333 | 26 | 0.8099 | 0.3916 | 0.8099 |
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+ | No log | 1.8667 | 28 | 0.8171 | 0.3801 | 0.8171 |
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+ | No log | 2.0 | 30 | 0.6256 | 0.4325 | 0.6256 |
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+ | No log | 2.1333 | 32 | 0.6044 | 0.4368 | 0.6044 |
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+ | No log | 2.2667 | 34 | 0.6559 | 0.4218 | 0.6559 |
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+ | No log | 2.4 | 36 | 0.6944 | 0.4358 | 0.6944 |
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+ | No log | 2.5333 | 38 | 0.8347 | 0.3992 | 0.8347 |
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+ | No log | 2.6667 | 40 | 0.7015 | 0.4476 | 0.7015 |
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+ | No log | 2.8 | 42 | 0.5980 | 0.4984 | 0.5980 |
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+ | No log | 2.9333 | 44 | 0.6999 | 0.4162 | 0.6999 |
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+ | No log | 3.0667 | 46 | 0.9852 | 0.3253 | 0.9852 |
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+ | No log | 3.2 | 48 | 0.8781 | 0.3521 | 0.8781 |
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+ | No log | 3.3333 | 50 | 0.6081 | 0.4705 | 0.6081 |
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+ | No log | 3.4667 | 52 | 0.5650 | 0.5161 | 0.5650 |
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+ | No log | 3.6 | 54 | 0.6909 | 0.4496 | 0.6909 |
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+ | No log | 3.7333 | 56 | 0.9750 | 0.3479 | 0.9750 |
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+ | No log | 3.8667 | 58 | 1.0120 | 0.3345 | 1.0120 |
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+ | No log | 4.0 | 60 | 0.7745 | 0.3864 | 0.7745 |
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+ | No log | 4.1333 | 62 | 0.5602 | 0.4789 | 0.5602 |
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+ | No log | 4.2667 | 64 | 0.5317 | 0.5191 | 0.5317 |
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+ | No log | 4.4 | 66 | 0.6043 | 0.4530 | 0.6043 |
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+ | No log | 4.5333 | 68 | 0.9138 | 0.3450 | 0.9138 |
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+ | No log | 4.6667 | 70 | 1.0543 | 0.2899 | 1.0543 |
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+ | No log | 4.8 | 72 | 0.9173 | 0.3364 | 0.9173 |
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+ | No log | 4.9333 | 74 | 0.6723 | 0.4180 | 0.6723 |
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+ | No log | 5.0667 | 76 | 0.6232 | 0.4325 | 0.6232 |
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+ | No log | 5.2 | 78 | 0.7547 | 0.3914 | 0.7547 |
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+ | No log | 5.3333 | 80 | 0.9923 | 0.3422 | 0.9923 |
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+ | No log | 5.4667 | 82 | 1.1410 | 0.3118 | 1.1410 |
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+ | No log | 5.6 | 84 | 0.9779 | 0.3534 | 0.9779 |
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+ | No log | 5.7333 | 86 | 0.8238 | 0.4080 | 0.8238 |
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+ | No log | 5.8667 | 88 | 0.8201 | 0.4073 | 0.8201 |
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+ | No log | 6.0 | 90 | 0.9149 | 0.3516 | 0.9149 |
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+ | No log | 6.1333 | 92 | 1.0529 | 0.3263 | 1.0529 |
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+ | No log | 6.2667 | 94 | 1.0383 | 0.3165 | 1.0383 |
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+ | No log | 6.4 | 96 | 0.9200 | 0.3612 | 0.9200 |
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+ | No log | 6.5333 | 98 | 0.8061 | 0.3776 | 0.8061 |
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+ | No log | 6.6667 | 100 | 0.8442 | 0.3648 | 0.8442 |
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+ | No log | 6.8 | 102 | 0.8632 | 0.3618 | 0.8632 |
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+ | No log | 6.9333 | 104 | 0.8772 | 0.3675 | 0.8772 |
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+ | No log | 7.0667 | 106 | 0.9942 | 0.3310 | 0.9942 |
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+ | No log | 7.2 | 108 | 1.0411 | 0.3115 | 1.0411 |
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+ | No log | 7.3333 | 110 | 0.9094 | 0.3720 | 0.9094 |
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+ | No log | 7.4667 | 112 | 0.8811 | 0.3764 | 0.8811 |
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+ | No log | 7.6 | 114 | 0.9874 | 0.3393 | 0.9874 |
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+ | No log | 7.7333 | 116 | 1.1141 | 0.2953 | 1.1141 |
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+ | No log | 7.8667 | 118 | 1.1732 | 0.2682 | 1.1732 |
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+ | No log | 8.0 | 120 | 1.2079 | 0.2587 | 1.2079 |
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+ | No log | 8.1333 | 122 | 1.1465 | 0.2875 | 1.1465 |
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+ | No log | 8.2667 | 124 | 1.0235 | 0.3252 | 1.0235 |
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+ | No log | 8.4 | 126 | 0.9569 | 0.3373 | 0.9569 |
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+ | No log | 8.5333 | 128 | 0.9933 | 0.3246 | 0.9933 |
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+ | No log | 8.6667 | 130 | 1.0961 | 0.2757 | 1.0961 |
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+ | No log | 8.8 | 132 | 1.2178 | 0.2280 | 1.2178 |
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+ | No log | 8.9333 | 134 | 1.2733 | 0.2266 | 1.2733 |
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+ | No log | 9.0667 | 136 | 1.3165 | 0.2226 | 1.3165 |
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+ | No log | 9.2 | 138 | 1.2781 | 0.2220 | 1.2781 |
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+ | No log | 9.3333 | 140 | 1.2042 | 0.2320 | 1.2042 |
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+ | No log | 9.4667 | 142 | 1.1543 | 0.2486 | 1.1543 |
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+ | No log | 9.6 | 144 | 1.0986 | 0.2779 | 1.0986 |
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+ | No log | 9.7333 | 146 | 1.0621 | 0.2914 | 1.0621 |
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+ | No log | 9.8667 | 148 | 1.0338 | 0.3043 | 1.0338 |
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+ | No log | 10.0 | 150 | 1.0235 | 0.3186 | 1.0235 |
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  ### Framework versions